Publications on color document image analysis present results on small, non-publicly available datasets. We propose in this paper a well defined and groundtruthed color dataset existing of over 1000 pages, with associated tools for evaluation. The color data groundtruthing and evaluation tools are based on a well defined document model, complexity measures to assess the inherent difficulty of a...

0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.09.019 ⇑ Corresponding author. Tel.: +886 5 2720411x332 E-mail addresses: [email protected] (H.-Y. Lin (W.-C. Chiang). This paper presents an image-based technique for shredded document reconstruction. Currently, most research on document recovery focuses on image feature exaction and analysis. In this work, we have presen...

Binary image is the essential format for document image processing, and the operation of the subsequent steps depends on the quality of the binarization process. The objective of this research is to propose a new binarization method based on adaptive multilayer-information for restoration of degraded historical document images. This paper focuses on degraded Thai historical document images, whi...

PDF documents are the important information resources for a mathematical expression retrieval system. As a major component of PDF documents, the image objects must be converted to coded form with the help of character recognition and document analysis technology firstly for content based searching. Therefore, the quality of these images becomes the key factor which decides the correctness in th...

During document scanning, skew is inevitably introduced into the incoming document image. Since the algorithms for layout analysis and character recognition are generally very sensitive to the page skew, skew detection and correction in document images are the critical steps before layout analysis. In this paper, a novel skew detection method based on straight-line fitting is proposed. And a co...

The document understanding problem can be informally defined as the automatic extraction of meaning from documents. In the Intelligent Sensory Information Systems group we have experimented with analyzing the visual appearance of documents in order to extract meaning. That is, we concentrate on how documents look, rather than on what they say. We motivate this approach with several applications...

Many problems in document image analysis can be couched in geometric terms. We outline recent advances in computational geometry that contribute to many aspects of the document analysis process and we provide pointers to a selection of the computational geometry literature where the most relevant results can be found.

Document image matching is the key technique for document image registration and retrieval. In this paper, a new matching method based on document component block list (CBL) is proposed. A document image is ®rstly parsed into a number of component blocks that are de®ned as non-adherent rectangular areas of substantial document contents. Then these blocks are organized as a list, on which severa...

Binarization is process to generate binary image from document image. Document image binarization has already under research from past many years, and many binarization algorithms have been proposed for different types of degraded document images. Document image Binarization is very popular to upgrade old handwritten and machine printed documents. Still to recover degraded document is very tedi...

Automatic transformation of paper documents into electronic documents requires document segmentation at the first stage. However, some parameters restrictions such as variations in character font sizes, different text line spacing, and also not uniform document layout structures altogether have made it difficult to design a general-purpose document layout analysis algorithm for many years. Thus...